The purpose of this research is to understand Ko Yu-seop’s perception of ‘contemporary emerging architecture’ in the West by investigating into his two early 1930s’ articles: ‘On Emerging Arts, Particularly the Cutting-edge Architecture’ (Jan. 1931) and ‘Russian Architecture’ (Dec. 1932). As a result of the investigation, it is argued that he attempted to systematically describe his contemporary architecture, from the concept of ‘modern’ to representative architectural theories, and his suggested reference list is considered meaningful since it illustrates one aspect of how modern architectural knowledge was transferred to Korea at that time. As his limitation, however, it should be pointed out that a significant part of his writing was a verbatim translation of the Japanese critic Takao Itagaki’s New Art Acquisition (1930). Nevertheless, the two articles give us a valuable understanding related to his socialist tendency, his preferred commune-type city-cum-architecture that reflects the ideology, etc. Hereafter, this understanding needs to be further discussed in both study areas of art history and architectural history in Korea.

Traditional Korean architecture and traditional ships maintained a close relationship with carpenters and tools because wood, the material, was common. This close relationship may have been from the time of ancient architecture and ancient ships. In previous studies, researchers proved the relationship between these two sides through historical records of traditional architecture and traditional ships. This study attempts to prove the structural association using existing remains. As a result, three structural similarities between traditional architecture and traditional ships could be found. First, the types of wood used are similar, and the tools and terms used are similar. Second, the method of distinguishing horizontal and vertical materials and the structure of wood and the method of forming wood are similar. Lastly, the ship carpenters mobilized for the construction of the palace mainly worked on long and curved materials such as the eaves and the ridge of a roof, because this was the work done when the ship was built. Therefore, it can be assumed that the roof structure they created resembles that of the ship.

Synthetic Aperture Radar (SAR) images are affected by noise called speckle, which is very severe and may hinder image exploitation. Despeckling is an important task that aims to remove such noise so as to improve the accuracy of all downstream image processing tasks. Many different schemes have been proposed for the restoration of SAR images. Among the different possible approaches, methods based on convolutional neural networks(CNNs) have recently shown to reach state-of-the-art performance for SAR image restoration. DnCNN(DeNoising Convolutional Neural Network) is one of the most widely used neural network architecture embedded in baseline SAR image despeckling methods. In military applications of SAR satellite image, fast processing is the most critical factor except the precision rate of the recognition. In this paper, we propose an improved DnCNN architecture for faster SAR image despeckling. The experimental results on real-world SAR images show that our proposed method takes faster processing time than the original DnCNN architecture without despeckling performance downgrade. Subjective visual inspection demonstrates that the proposed method has great potential in preserving the image signal details and suppressing speckle noise.

One of the promising supercapacitors for next-generation energy storage is zinc-ion hybrid supercapacitors. For the anode materials of the hybrid supercapacitors, three-dimensional (3D) graphene frameworks are promising electrode materials for electrochemical capacitors due to their intrinsic interconnectivity, excellent electrical conductivity, and high specific surface area. However, the traditional route by which 3D graphene frameworks are synthesized is energy- and time-intensive and difficult to apply on a large scale due to environmental risks. Here, we describe a simple, economical, and scalable method of fabricating grafoil (GF) directly into a graphite–graphene architecture. Both synthesizing of a porous structure and functionalization with interconnected graphene sheets can be simultaneously achieved using electrochemically modified graphite. The resultant graphite electrode provides a high capacitance of 140 mF/cm2 at 1 mA/cm2, 3.5 times higher than that of pristine grafoil, keeping 60.1% of its capacitance when the current density increases from 1 to 10 mA/cm2. Thus, the method to produce 3D graphene-based electrodes introduced in the current study is promising for the applications of energy storage devices.